OpenML
145920

Run 145920

Task 139 (Supervised Classification) BNG(breast-cancer,nominal,1000000) Uploaded 31-01-2015 by Joaquin Vanschoren
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weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

0.804
Per class
Cross-validation details (10-fold Crossvalidation)
0.7689
Per class
Cross-validation details (10-fold Crossvalidation)
0.4264
Cross-validation details (10-fold Crossvalidation)
290298.5711
Cross-validation details (10-fold Crossvalidation)
0.2952
Cross-validation details (10-fold Crossvalidation)
0.4177
Cross-validation details (10-fold Crossvalidation)
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.7737
Per class
Cross-validation details (10-fold Crossvalidation)
0.7835
Cross-validation details (10-fold Crossvalidation)
0.8778
Cross-validation details (10-fold Crossvalidation)
0.7835
Per class
Cross-validation details (10-fold Crossvalidation)
0.7066
Cross-validation details (10-fold Crossvalidation)
0.457
Cross-validation details (10-fold Crossvalidation)
0.3921
Cross-validation details (10-fold Crossvalidation)
0.8579
Cross-validation details (10-fold Crossvalidation)
935.8986
757060
Cross-validation details (10-fold Crossvalidation)
26470
Cross-validation details (10-fold Crossvalidation)
730590
Cross-validation details (10-fold Crossvalidation)